57 scholarship-phd-agent-based-modelling Postdoctoral positions at Northeastern University
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About the Opportunity The successful candidate will contribute to an ambitious project developing perceptual AI agents that assist humans in daily activities through behavioral understanding and
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supervision of PI Calina Copos and will engage in collaborative work with cell and developmental biologists. Expertise in agent-based models, continuum PDE descriptions, dynamical systems, and/or ML-based
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The work heavily depends on data-driven, evidence-based modeling and collaboration with practitioners. The successful candidate will have completed a PhD (any discipline, required by start of appointment
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explores the interactions between wood-eating teredinid bivalves (commonly known as shipworms) and their intracellular bacterial endosymbionts. Shipworms offer an exceptional model system for studying
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endosymbionts. Shipworms offer an exceptional model system for studying symbiont acquisition and intracellular infection, as both the hosts and their symbionts can be cultured in the laboratory. Their symbionts
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of statistical physics, information theory, and computational modeling. RESPONSIBILITIES The Postdoctoral Research Associate will perform basic or applied research of a limited scope, primarily using existing
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Associate to join the lab of Research Professor Michael Johansson. Professor Johansson works at the interface of research and operational public health using statistical and mathematical models to improve
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of statistical physics, information theory, and computational modeling. RESPONSIBILITIES The Postdoctoral Research Associate will perform basic or applied research of a limited scope, primarily using existing
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Associate to join the lab of Research Professor Michael Johansson. Professor Johansson works at the interface of research and operational public health using statistical and mathematical models to improve
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Associate to join the lab of Research Professor Michael Johansson. Professor Johansson works at the interface of research and operational public health using statistical and mathematical models to improve